ACS_ADS_DE_plot | R Documentation |
The ACS_ADS_DE_plot
is function to visualize DE evidence and the significance of c-scores and d-scores in one plot. X and y axes represent the average
DE posterior probabilities in each study pair, size of dots represent the significance of c-scores (upper right) or d-scores (lower left).
ACS_ADS_DE_plot(
mcmc.merge.list,
ACS_ADS_pathway,
dataset.names,
cluster.lb = NULL,
select.pathway.list,
highlight.pathway.index = NULL,
plot.path = NULL
)
mcmc.merge.list: |
a list of merged MCMC output matrices. |
ACS_ADS_pathway: |
a list of four data frames: pathway specific c-scores, d-scores and their permuted p-value (rows are pathways and columns are studies). |
dataset.names: |
a vector of dataset names. |
cluster.lb: |
a vector of cluster label named by pathway names. optional. |
select.pathway.list: |
a list of selected pathways (containing gene components). |
highlight.pathway.index: |
a numeric vector indicating which pathways in the select.pathway.list need to be highlighted. |
A collection of DE evidence plots for each data pair. In each individual panel, each dot is a pathway sized by p(c-score) (orange in upper right) or p(d-score) (blue in lower left).X and y axes are the average absolute DE posterior probabilities.
## Not run:
#mcmc.merge.list from the merge step (see the example in function 'merge')
#select.pathway.list from the pathSelect step (see the example in function 'pathSelect')
#ACS_ADS_pathway from the multi_ACS_ADS_pathway step (see the example in 'multi_ACS_ADS_pathway')
#highlight and label the first three pathways in selec.pathway.list:
highlight.pathway.index = c(1,2,3)
ACS_ADS_DE_plot = function(mcmc.merge.list,ACS_ADS_pathway,dataset.names,
cluster.lb=NULL,select.pathway.list,
highlight.pathway.index=highlight.pathway.index,plot.path=NULL)
## End(Not run)
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